Top Entry Level Jobs in Boston, MA

Supports consulting engagements by conducting market and desk research, developing quantitative analyses, applying problem-solving frameworks, synthesizing insights, and communicating recommendations to clients. The associate collaborates with project teams, uses Excel, Access, Confirmit, and proprietary tools, and owns assigned deliverables. A completed bachelor's or master's degree with strong quantitative coursework is required, with full-time availability in 2026. The role follows a hybrid model and requires client-related travel as needed.

Handle auto insurance claims from start to finish, guiding insureds and claimants through the claims process after accidents. Provide empathetic customer service, investigate and resolve claims, manage multiple systems, make decisions, and coordinate stakeholders in a high-volume virtual and office environment. Paid training and licensing are provided; no prior claims experience is required.

Develop and maintain energy simulation software for residential building design and verification. Implement energy codes and standards, improve modeling calculations, provide energy-modeling support to colleagues and customers, and collaborate with developers on product enhancements. The role requires software development skills, knowledge of heat transfer and building science, strong communication, and an engineering degree with thermodynamics coursework. Hybrid work requires approximately one day weekly in downtown Boston.

Operate and build data center sites by racking, cabling, troubleshooting, repairing, and documenting servers and network equipment. Manage hardware lifecycle, inventory, DCIM records, vendors, RMAs, incidents, and on-call response. Troubleshoot Layer 1/2 connectivity and hardware using Linux, diagnostics, BMC/IPMI, fiber testing, and command-line tools. Apply AI, scripting, automation, and process improvements to reduce recurring issues and support consistent operations across sites.

Technical Services Co-op students support networking, cybersecurity, enterprise systems, or general IT initiatives. Responsibilities include troubleshooting, investigating problems, documenting findings, implementing solutions, collaborating with IT teams, following service and security practices, and completing a defined project. The role provides hands-on experience with enterprise technologies, mentorship, and opportunities to present project outcomes.

Conduct high-volume outbound prospecting through calls, email, LinkedIn, and video messaging; qualify prospects, conduct discovery calls, and generate sales pipeline. Partner with Account Executives on territory and account planning, research target organizations, personalize outreach, maintain Salesforce data, and meet activity and pipeline targets. Learn enterprise software sales through structured training and coaching.

The Communications & Brand Director will own Akeneo’s global communications narrative, with an initial focus on the US market. Responsibilities include executive communications, media and analyst relations, thought leadership, agency leadership, brand governance, crisis communications, budget ownership, and performance measurement. The role partners with senior executives, product and marketing teams, agencies, and global regional leaders while using AI workflows to monitor media, competitors, and brand perception and accelerate content creation.

Build EliseAI’s product enablement function from the ground up for go-to-market teams. Develop training strategies, curricula, video and e-learning content, webinars, certifications, documentation, and value-based demo programs. Partner with Product, Product Marketing, Sales, and subject matter experts to support launches and improve field readiness. Track proficiency, adoption, utilization, expansion, and NPS metrics, using data and AI to continuously improve enablement programs.

Develop and maintain backend services and APIs supporting WHOOP member-facing features. Collaborate with product, design, data science, and engineering teams to deliver scalable solutions. Write tested code, participate in reviews, monitor production systems, troubleshoot issues, document solutions, and contribute to reliable, high-performing distributed systems using Java, Kafka, PostgreSQL, and AWS.

Develop, fine-tune, train, and optimize computer vision and machine learning algorithms. Manage experiments, data, testing, validation, and reproducibility using MLOps tools. Research emerging ML techniques, analyze field-test data, and transition algorithms into production across cloud, on-premises, and embedded environments. Collaborate with engineers and national security customers to deliver mission-critical AI and natural language processing capabilities.